Domain

Production ML & MLOps

The systems side of ML: pipelines, serving, online inference, training-serving skew, monitoring, experiments, and rollout safety.

1. ML System Lifecycle
2. Training-Serving Skew
3. Model Serving & Inference
4. Monitoring & Drift
5. Experimentation & Rollouts